Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Kanwas serves as the centralized brain for your team, providing a singular platform where teams and agents can generate, modify, share, and enrich product context. By eliminating the need to manage multiple tools such as Claude chats, local folders, Obsidian, VS Code, Git, and various documents, Kanwas offers product teams a collaborative workspace that keeps context continuously relevant. It's not merely about obtaining answers or producing outputs; rather, it functions as a space for thoughtful collaboration, leading to polished and actionable deliverables. By gaining insights into you, your business, and your strategic choices, Kanwas fosters shared context, ensuring that evidence, concepts, and trade-offs are visible to all stakeholders. The combination of a canvas and shared context promotes alignment, enabling teams and agents to collaborate over the same foundational information while producing structured, ready-to-execute deliverables at every phase of implementation. Each decision and its corresponding outcome enhance the subsequent thought processes and deliverables, evolving stored knowledge into a dynamic platform that teams can actively engage with. Moreover, Kanwas features a versatile canvas for tangible work, integrating code, documents, tasks, and more, which further streamlines collaborative efforts. This comprehensive approach transforms the way teams interact with their projects, fostering an environment where creativity and productivity thrive.
Description
PlatformPilot serves as an intelligent brain for teams that prioritize AI, encapsulating the essence of your organization's operations, choices, strategies, and collective insights into a dynamic memory resource that both your team and AI agents can leverage for informed decision-making across various platforms.
In contrast to conventional search solutions that simply retrieve information, PlatformPilot provides reasoning capabilities that clarify the rationale behind every response and applies your established playbooks in your own cloud environment, continually enhancing its accuracy with each interaction.
It integrates seamlessly with your existing tech stack via the Model Context Protocol (MCP), functioning as a collaborative memory layer within the tools your team is already accustomed to, such as Claude Code, Claude Desktop, and OpenAI-based agents, with the memory adapting and evolving alongside your workflow.
This innovative platform not only captures outcomes but also learns from them, ensuring that your knowledge base is not static but rather a living entity that grows smarter with every use.
Moreover, it supports over 200 tools, facilitates straightforward searches in everyday language, and organizes knowledge autonomously to streamline access to critical information and insights.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
ChatGPT
Yes
Claude
Yes
Claude Code
No
Claude Desktop
No
Gemini
Yes
Git
Yes
Model Context Protocol (MCP)
No
Obsidian
Yes
OpenAI Codex
No
Visual Studio Code
Yes
Integrations
ChatGPT
No
Claude
No
Claude Code
Yes
Claude Desktop
Yes
Gemini
No
Git
No
Model Context Protocol (MCP)
Yes
Obsidian
No
OpenAI Codex
Yes
Visual Studio Code
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
$100
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Kanwas
Country
United Kingdom
Website
kanwas.ai/
Vendor Details
Company Name
DynG AI
Founded
2024
Country
United States
Website
dyng.ai